Website Tech Stack Scraper (BuiltWith Alternative)
Detect any website's tech stack: CMS, ecommerce platform, analytics, tag managers, JS frameworks, CDN, web server, marketing pixels, payment processors, chat and email tools, plus contact emails and social links. Export to JSON, CSV or Excel.
{ "url": "https://1800flowers.com/", "finalUrl": "https://1800flowers.com/", "statusCode": 200, "title": "Flowers, Flower Delivery, Fresh Flowers Online…", "description": "Send flowers and send a smile! Discover fresh …", "tagManagers": "Google Tag Manager", "jsFrameworks": "React, Angular", "paymentProcessors": "Braintree, Klarna", "fonts": "Adobe Fonts (Typekit)" }
每次运行都返回干净、带类型的记录，可直接用于你的 CRM、表格或数据库。
- 每个结果对应一条干净记录，已去重并规范化
- JSON、CSV 或 Excel 的稳定结构，也可通过 Apify API 读取
- 在云端按用量付费，无需安装或维护
一条真实的示例记录，正是你收到的结构。
| Url | Final Url | Status Code | Title |
|---|---|---|---|
| https://1800flowers.com/ | https://1800flowers.com/ | 200 | Flowers, Flower Delivery, Fresh F… |
| https://1800contacts.com/ | https://1800contacts.com/ | 403 | Access to this page has been deni… |
| https://dominos.com/ | https://dominos.com/ | 200 | Pizza Delivery & Carryout, Pa… |
| https://geico.com/ | https://geico.com/ | 302 | |
| https://progressive.com/ | https://progressive.com/ | 200 | An Insurance Company You Can Rely… |
{ "url": "https://1800flowers.com/", "finalUrl": "https://1800flowers.com/", "statusCode": 200, "title": "Flowers, Flower Delivery, Fresh Flowers Online…", "description": "Send flowers and send a smile! Discover fresh …", "tagManagers": "Google Tag Manager", "jsFrameworks": "React, Angular", "paymentProcessors": "Braintree, Klarna", "fonts": "Adobe Fonts (Typekit)" }
常见问题
How does it detect technologies?
Each site is loaded and its markup and response signals are matched against a large signature library covering 15+ categories, from CMS and ecommerce to pixels, payments and chat widgets.
Can I analyze many sites at once?
Yes. Paste a full list of domains and the actor profiles each one, tagging every record with the input URL so results are easy to join back to your list.
Does it find contact details?
Where a site exposes them publicly, it captures contact emails and social profile links alongside the tech stack, which is useful for lead enrichment.
How accurate is it?
Detection is signature based, so it reflects what a site exposes in its public markup and headers. Well-instrumented sites return a rich stack; heavily obfuscated ones may show less.